Democracies delegate substantial decision power to politicians. Using a model in which an incumbent can design, examine and implement public policies, we show that examination takes place in spite of, rather than thanks to, elections. Elections are needed as a carrot and a stick to motivate...

When hiring an adviser (he), a policy maker (she) often faces the problem that she has incomplete information about his preferences. Some advisers are good, in the sense that their preferences are closely aligned to the policy maker's preferences, and some advisers are bad. Recently, some...

We identify the conditions under which voters can induce political parties to collect information and to select policies which are optimal from the representative voter’s point of view. We show that when parties are office motivated the voting rule should encourage parties to collect...

The increasing availability of financial market data at intraday frequencies has not only led to the development of improved volatility measurements but has also inspired research into their potential value as an information source for volatility forecasting. In this paper we explore the...

We experimentally study the effect of information about competitors ́actions on cartel stability and firms ́incentives to form cartels in Cournot markets. As in previous experiments, markets become very competitive when individualized information is available and participants cannot...

Economic problems such as large claims analysis in insurance and value-at-risk in finance, requireassessment of the probability P of extreme realizations Q. This paper provided a semi-parametricmethod for estimation of extreme (P, Q) combinations for data with heavy tails. We solve the...

The strategy method is becoming an important tool in experimentalmethodology. This study examines how well this method works in anindividual decision experiment. Subjects are faced with a sequentialsearch problem. After extensive practice solving the problem andformulating strategies, they play...

We consider a new copula method for mixed marginals of discrete and continuous random variables. Unlike the Bayesian methods in the literature, we use maximum likelihood estimation based on closed-form copula functions. We show with a simulation that our methodology performs similar to the...

We study the performance of alternative methods for calculating in-sample confidence and out of-sample forecast bands for time-varying parameters. The in-sample bands reflect parameter uncertainty only. The out-of-sample bands reflect both parameter uncertainty and innovation uncertainty. The...

We introduce a dynamic Skellam model that measures stochastic volatility from high-frequency tick-by-tick discrete stock price changes. The likelihood function for our model is analytically intractable and requires Monte Carlo integration methods for its numerical evaluation. The proposed...